Azure/bicep-ptn-aiml-landing-zone

terraform-parity-proposal

Converts an approved structured parity handoff into a read-only, human-reviewable proposal plan for the allow-listed Terraform repository.

لغة النص الأصلي: الإنجليزية

speckit-analyze

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

لغة النص الأصلي: الإنجليزية

speckit-checklist

Generate a custom checklist for the current feature based on user requirements.

لغة النص الأصلي: الإنجليزية

speckit-clarify

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

لغة النص الأصلي: الإنجليزية

speckit-constitution

Create or update the project constitution from interactive or provided principle inputs.

لغة النص الأصلي: الإنجليزية

speckit-converge

Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.

لغة النص الأصلي: الإنجليزية

speckit-implement

Execute the implementation plan by processing and executing all tasks defined in tasks.md

لغة النص الأصلي: الإنجليزية

speckit-plan

Execute the implementation planning workflow using the plan template to generate design artifacts.

لغة النص الأصلي: الإنجليزية

speckit-specify

Create or update the feature specification from a natural language feature description.

لغة النص الأصلي: الإنجليزية

speckit-tasks

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

لغة النص الأصلي: الإنجليزية

speckit-taskstoissues

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

لغة النص الأصلي: الإنجليزية

architecture-decision

Conducts and records a verifiable AI Landing Zone architecture decision. Use when a choice alters module boundaries, contracts, identity, networking, deployment topology, or operation with meaningful reversal cost.

لغة النص الأصلي: الإنجليزية

deployment-operations

Safely investigates and operates AI Landing Zone preflight, What-If, azd, Azure DevOps, and jumpbox bootstrap paths. Use for approved deployment operations or incident diagnosis.

لغة النص الأصلي: الإنجليزية

documentation-consistency

Keeps AI Landing Zone contributor, user, and operator documentation aligned with shipped Bicep behavior. Use for parameters, defaults, outputs, topology, deployment flow, operations, or releases.

لغة النص الأصلي: الإنجليزية

engineering-principles

AI Landing Zone architecture and implementation principles. Use before Azure or Bicep design, review, meaningful refactoring, security, validation, release, or operational work.

لغة النص الأصلي: الإنجليزية

iac-validation

Builds an evidence-based validation plan for AI Landing Zone Copilot assets, Bicep, parameters, scripts, and Azure deployment behavior. Use after implementation or during regression investigation.

لغة النص الأصلي: الإنجليزية

release-management

Prepares and validates AI Landing Zone semantic releases. Use for changelog entries, manifest versions, release branches, tags, GitHub Releases, and post-release branch reconciliation.

لغة النص الأصلي: الإنجليزية